51 to 75 of 215 ETL Jobs in London

in similar BI tool) Knowledge working with the AWS BI Stack (or similar) Intermediate level skills in data modelling, SQL Experience working as a ETL developer Scrum Master/Product owner experience Domain Knowledge working in commercial Pharma Knowledge of Veeva CRM The Gilead Difference Everyone at Gilead is motivated more »

a hands-on role in their realisation. Expertly use Azure data services (including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and others) to extract, transform, and load (ETL) data from various sources. Take initiative in data governance and quality control tasks, ensuring the integrity and security of client data more »

communication skills and ability to work effectively in a remote setting. Nice to Haves: + Experience with SQL Server Integration Services (SSIS) or similar ETL tools. + Understanding of Authentication via SSO + Experience with Infrastructure as Code (Azure ARM/Bicep) What’s on Offer: + A fully remote more »

environment requires a more robust structure so much of the role will focus around improving: - Data Governance - Data Warehousing - Developing and implementing automation processes - ETL activities - Advanced analytics (involving forecasting and predictive analytics) Clearly, these will not all be achieved by one single person, nor all at once but it more »

with Real Time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and data modelling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A more »

Microsoft Windows and web services (IIS and Tomcat), CI/CD pipelines (Azure DevOps), and generating XML files Understanding of database design techniques, optimisation, ETL best practices, and dimensional modeling BSc/BA in Computer Science, Engineering, or related field This is a change to join a brilliant, established business more »

Proficiency in designing and implementing data models, data integration solutions, and data governance frameworks. 4. Solid understanding of relational databases, data warehousing concepts, and ETL processes. 5. Experience with data modeling tools and data management systems. 6. Familiarity with cloud-based data platforms and technologies (e.g., AWS, Azure, Google Cloud more »

project technical deliverables. Essential Technical Skills Minimum 2-3 years’ experience in developing & supporting Azure data focused systems Experience in traditional Data Warehouse technologies (ETL, SQL Database, Reporting) Knowledge of Dimension Modelling Strong SQL skills, experience in writing complex SQL queries Knowledge of Azure Data Lake, Data Factory, Databricks and more »

with immediate effect. Data Engineer Responsibilities Design and implement scalable data architectures for large-scale web-scraping tools. Develop and optimize data pipelines for ETL from online platforms, including textual and unstructured data, and REST APIs. Test, validate, and secure acquired data to ensure accuracy and quality. Work closely with more »

is an exciting opportunity to contribute to the success of a forward-thinking property management company. Responsibilities: Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory. Optimize data storage and retrieval processes to ensure scalability, reliability, and performance. Collaborate with cross-functional teams to understand data more »

career. Candidates must have the following Strong Developer experience on C# Azure, Logic Apps Database experience SQL Server Data Factory/Data Warehousing/ETL Skills required: Experience of developing technology solutions for large, complex business change programmes Experience of working on MS Azure Platform Experience of MS DevOps (VSTS more »

your problem-solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and more »

pipelines. As well as being an expert in cloud platform, you’ll have a strong background in Data Ingestion and Integration, designing and implementing ETL pipelines on various technologies, Data Quality monitoring and a rounded understanding of data operations. Aviva believes strongly in experimentation leading to industrialisation and we are more »

to tackling one of society's greatest challenges: affordable care. What you’ll need Strong hands-on experience building and maintaining data pipelines and ETL processes on a cloud platform Demonstrated experience delivering data products in a modern BI technology or open source data frameworks Strong SQL skills and experience more »

the organization. Developing and implementing data models and algorithms to support data science and machine learning initiatives. Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such as more »

and translate them into analytical solutions. Develop and maintain BI reports, dashboards, and visualisations using tools such as Power BI, Tableau, or similar platforms. Extract, transform, and load (ETL) data from various sources to create centralised datasets for analysis. Perform data analysis to identify trends, patterns, and opportunities for improvement. more »

role would be a great fit for you. As Data Engineer, you will: Design, develop, and maintain data processes on the Azure platform. Create ETL processes to collect, cleanse, and transform data into usable formats. Support data migrations by extracting data from source systems, implementing data mappings and transformations, and more »

SQL Managed Instances o Database schema design and implementation -Relational databases, T-SQL, Stored Procedures, Functions and Views, Indexes, SQL jobs and alerts. o ETL Development and Data Warehousing experience - SSIS, SSRS, Azure Data Factory o CI & CD including Azure DevOps pipelines. o Experience in high availability databases/servers more »

experience in data analytics. Strong understanding of data science and machine learning. Proficiency in data preparation, cleansing, and transformation. Knowledge of data integration and ETL processes. Skills in Excel, Python (3+ years), SQL (3+ years), MongoDB, API, JSON, and Power BI. Strong communication and project management skills. Nice To Haves more »

resourceful, independent and have a strong attention to detail Ability to face off to senior stakeholders and key decision makers Strong understanding of Data ETL tools (e.g. Alteryx) - nice to have Insurance London, UK - hybrid up to £50K Permanent more »

SQL, Python and AWS/Redshift to build features into the analytical pipelines, driving the advanced analytics techniques Design, develop and maintain data pipelines, ETL processes, and data warehouses to ensure data integrity and reliability Focused on upskilling the team through 1:1 meetings, mentoring, coaching, and performance reviews Devising more »

and security standards. Establish and uphold best practice standards, design patterns, and documentation for data management and engineering. Design, build, and manage data pipelines, ETL processes, and data orchestration workflows for seamless data transfer across systems and platforms. Develop system designs for integrating and managing data effectively. Experience and Qualifications more »

good knowledge of their respective language and writing production ready code that will be deployed on the cloud. 𝐑𝐨𝐥𝐞: Development of end-to-end ETL Data Pipelines Architect and build Market Data processing systems that will deal with Tick Data, Order Book data and Trade Data. Working collaboratively with the more »

implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Data Engineering: Guarantee data access, Data quality, ETL, Data pipelines Platform administration: Help set up accesses, infrastructure, create new storage, enforce best practices Production: Help the preparation of the data science pipelines, interact more »

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »